MIT Hacking Medicine & KACST & Badir
|04:00PM||Registration and Check-in opens for participants|
|08:00PM||Hacking 101 (MIT's Hacking Medicine Team)|
|11:00PM||End of Day 1 Program – Late night hacking continues|
|09:00AM||Technical Workshops and Scientific Talks|
|01:00PM||Presentations and Judging (3 minute presentations and 2 minutes Q&A)|
|06:00PM||Final Ceremony (Minister of Health and President of KACST)|
In this track, we foster the leading community of mental health advocates and technologists and enable them to innovate and advance mental health care through technology. We believe that mental health is not a problem that can be solved in isolation: it requires the collaboration of mental health practitioners and professionals, technologists, NGOs, governments, employers, and non-profits. We envision a world where mental health care and the culture of well-being is positively revolutionized alongside technology.
There are talented, inspiring mental health practitioners tackling mental health issues on the front lines. There are brilliant minds in the technology field who are eager to make a real impact in improving the health of millions of people around the globe. There are survivors and friends of loved ones who have suffered from mental health illnesses. Everyone has an important role in this conversation.
Let’s come together and innovate mental health!
Machine learning is one component of Brain-Computer Interfaces (BCI) that will be used in many different fields of neuroscience, such as motor rehabilitation of stroke patients, assessment and communication of coma patients, control of devices for disabled people, cognitive training or neuromarketing. The Brain Health Hackathon has been created to show these current and future developments and unlimited possibilities of BCIs in creative or scientific fields. Furthermore, this track aims to help understanding how artificial intelligence, life science, art and technology become a unity to evolve innovative and exceptional BCI headpieces. The brain health hackathon brings together engineers, programmers, designers, artists or enthusiasts, to collaborate intensively as an interdisciplinary team. They program or build their own diagnostic or interactive systems, or their fully functional EEG-based BCI’s to control a drone, a robot or an orthosis. The participation only requires basic knowledge in neuroscience, BCIs, programming or designing.
In this track, we aim to promote virtual care and empower it with innovative ideas around technologies and applications for physical, mental, and social well being. Virtual care can be considered as people’s first point of contact with medical care providers. It improves access to medical advice and guide users to seek appropriate care from the comfort of their homes.Participants in this track are not required to have engineering or coding background. Every team will be provided with different open source tools, hardware, robots, and other technologies to be used to help develop their mockups, prototypes and technology solutions.
The Assistive Technology track will bring students and makers together with people with disabilities, clinicians and technology experts to work towards designing novel, effective and accessible technological solutions that could have a transformative effect on the day-to-day lives of people with disabilities, their families and caregivers. Assistive technology projects are interdisciplinary! We’re looking for mechanical engineers, electrical engineers, software engineers, designers – anyone who is interested in creating products in the realm of AT. The hackathon is about learning and creating – if you’re excited about the projects, you’re welcome to participate.
In this track, participants will use open source distributed ledger technology and health-specific standards to address Saudi Arabia’s most pressing health IT problems. Concepts should be innovative. Participants will engage in forward-thinking projects that enhance interoperability and focus on demonstrating the potential to seamlessly incorporate blockchain solutions into existing health IT systems. Participants will access open data sources for test data and leverage openly available blockchain and health IT tools and resources.
In this track, we are looking at innovative ways to develop predictive personalized public health models to help us identify the right therapeutic/preventive interventions, in the right dosage, for the right individual, at the right time, to get the right response and avoid the adverse outcomes in childhood and adulthood. Domains of data science, epidemiology, public health and artificial intelligence intersect in the problems in this track.
Sensors are becoming ubiquitous, measuring every aspect of today’s life while generating enormous amounts of data. Internet of Things and Industry 4.0 are just two of the buzz phrases used to describe the next revolution of our data driven society and our digitized industry. As technology advances, healthcare has ever more access to data to understand patient behaviors and improve care. In particular, there has been a proliferation of wearables from consumer gadgets. In this track, we will bring together scientists, designers and coders to explore latest developments in sensor systems, networks, big data, and machine learning in healthcare.
The goal of this track is to brainstorm ideas that could be useful in addressing important healthcare challenges around oncology prevention, detection, diagnosis and treatment. Our broader vision is to encourage cross-disciplinary collaboration to innovate solutions for assessing, monitoring, managing, and treating of cancer.
This event is unique because is going to bring a wide range of experts, including clinicians, engineers, designers, developers. And we believe that the more diverse the teams are, the more innovative solutions will be.
In this track, we explore the application of design-thinking on a broad area of health and the promotion of physical, mental and social well-being to achieve human-centered designs. The track aligns with the objectives of the Saudi Model of Care in that it focuses on achieving activated people, healthy communities and virtual care.
We explore the shift of healthcare from hospitals to homes and communities thus empowering people to take charge of their health. Some areas to work will include preventative measures through promotion of healthy habits and behavioral changes,managing diseases and symptoms and provision of information to name a few.
Design applications may include – but are not limited to – product, furniture and service design for special applications. Social computing, gamification, virtual and augmented reality are some of the technological areas with which it will intersect.
In this track we explore digital dentistry and bioprinting.. No drills, no injections, easier access, lower costs: How can technology transform dentistry for the better? As more high-quality digital information becomes available to researchers, the potential for more precise diagnosis and treatment only continues to grow. Data including your age, medical and dental health history, as well as your genome, will, for example, allow dental professionals to pinpoint your susceptibility to various types of oral disease. In the near future, doctors and dentists will increasingly tailor treatment to your personal genetics, making choices reflecting what has proven most effective for your genome and your particular physiology. Or they may even decide how to best treat you based on the specific bacteria that’s causing your problem. Cap, crown or a bridge? Current technology uses CAD/CAM to mill a tooth from a 3-D scan. 3-D printing is the next phase.
Other dental care innovations focus on prevention. For example, manufacturers are now designing toothbrushes with all kinds of gizmos: cameras and location tracking technology that show you the parts of your mouth where you’re not brushing enough; a timer that keeps track of how long you brush and syncs with apps that keep you entertained for the two minutes you’re supposed to brush; and pressure sensors that warn if you’re brushing too hard. Other innovators are attempting to create sensors that could detect various diseases.